SEISMIC PERFORMANCE ESTIMATION FOR BRIDGES WITH AGING DETERIORATED RUBBER BEARINGS (RING SHOE) BY BAYESIAN PROBABILITY INFERENCE AND INCREMENTAL DYNAMIC ANALYSIS

• DANG Ji

  埼玉大学 理工学研究科

• SATO Taku

  株式会社竹中工務店

• IGARASHI Akira

  京都大学 防災研究所

• HAYASHI Kunihiro

  阪神高速道路株式会社 大阪管理局

• ADACHI Yukio

  阪神高速道路株式会社

Bibliographic Information

Other Title

• ベイズ確率推定と漸増動的解析(IDA)による経年劣化支承（リング沓）の耐震性能評価

Abstract

 It is important to evaluate the residual performance of bridge structures with aging deteriorated rubber bearings by carefully considering their uncertainty in deformation capacity. However, it is difficult to estimate the probability distribution of the ultimate strain of the bearings as there are only very limited number of test data. In this study, Bayesian estimation is performed to investigate the probability distribution and variation in the deformation capacity of aging deteriorated rubber bearings. Besides the tested ultimate strain of 4 aging deteriorated bearing samples, probability distributon from 112 new bearings' test resuts are used as pior-distribution. Increamental Dynamic Analysis (IDA) were conducted to evaluate the seismic performance of deteriorated structure with radom ultimate strain of bearings due to the estimation. The few numerical models' IDA were conducted and their their fragility and probobal damage mode under large earthquake were calculated for decision making issues such as the nessessary of changing the bearing to new ones or reinforcement of the sub-structure.

Journal

• Journal of Japan Society of Civil Engineers, Ser. A1 (Structural Engineering & Earthquake Engineering (SE/EE))

  Journal of Japan Society of Civil Engineers, Ser. A1 (Structural Engineering & Earthquake Engineering (SE/EE)) 72 (4), I_542-I_554, 2016

  Japan Society of Civil Engineers

Keywords

• rubber bearing
• aging deterioration
• bayesian probability
• seismic performance
• increamental dynamic analysis

Details

• CRID: 1390282680325739904
• NII Article ID: 130005152699
• DOI: 10.2208/jscejseee.72.i_542
• ISSN: 21854653
• Web Site: https://www.jstage.jst.go.jp/article/jscejseee/72/4/72_I_542/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed